Instructions to use S2312dal/M1_cross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use S2312dal/M1_cross with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="S2312dal/M1_cross")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("S2312dal/M1_cross") model = AutoModelForSequenceClassification.from_pretrained("S2312dal/M1_cross", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from S2312dal/M1_cross: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/S2312dal/M1_cross/resolve/main/training_args.bin
- Command line
-
hf download hf://S2312dal/M1_cross/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/S2312dal/M1_cross/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- eb15b2b6f24cd93a2dcca32cb8b525d701e25ac70c8f686166efccdad5ddb7ce
- Size of remote file:
- 3.31 kB
- SHA256:
- 214d6dd5353b82cf34128fe4e568d6f9ecb3026149ed629e06caff3a7b52110e
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